MLflow Training in Tulsa

This instructor-led, live training (available online or onsite) is designed for data scientists who aim to enhance their machine learning (ML) model creation, tracking, and deployment processes beyond the initial development phase. By the end of this training, participants will be able to: - Install and configure MLflow along with related ML libraries and frameworks. - Understand the significance of trackability, reproducibility, and deployability in the context of an ML model for government applications. - Deploy ML models to various public clouds, platforms, or on-premise servers. - Scale the ML deployment process to support multiple users collaborating on a project. - Set up a central registry to experiment with, reproduce, and deploy ML models efficiently.